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BF dev-team

Multi-agent development team orchestration. Use when managing coding agents (Codex, Claude Code, Gemini, Cursor) for automated software development: (1) Spawning agents for tasks, (2) Monitoring agent status, (3) Managing git worktrees, (4) Automated code review, (5) Handling notifications via Feishu.

ClawHub Agent Skills author: Vint v0.1.4 41 files · 15 scripts body ≈ 2 546 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Multi-agent development team orchestration.

As a process F 33/100 · Will not run — References files that are not bundled: scripts/dev-board/, assets/logs/reviews/review-<pr>-<ts>.aggregate.json, assets/active-tasks.json

AnalyzerGitHubAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/dev-board/, assets/logs/reviews/review-<pr>-<ts>.aggregate.json, assets/active-tasks.json
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/dev-board/
  • warning missing-ref reference to a missing file: assets/logs/reviews/review-<pr>-<ts>.aggregate.json
  • warning missing-ref reference to a missing file: assets/active-tasks.json
  • warning missing-ref reference to a missing file: assets/tasks.json
  • warning missing-ref reference to a missing file: assets/logs/archives/queue-history-YYYY-MM.jsonl
  • warning missing-ref reference to a missing file: assets/logs/archives/task-history-YYYY-MM.jsonl

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/dev-board/, assets/logs/reviews/review-<pr>-<ts>.aggregate.json, assets/active-tasks.json
  • 0Tools and files. 6 referenced file(s) missing: scripts/dev-board/, assets/logs/reviews/review-<pr>-<ts>.aggregate.json, assets/active-tasks.json
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (dev-team) differs from the folder (team-dev)
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 111 steps
  • 100Execution cost. Instruction body is 2546 tokens
  • low The response is described with custom markup (3 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • -32 of 15 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 302: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 111 items
  • +4Has examples (16 code blocks)
  • +4Reference files are cited in the instructions (7 of 7)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This skill is a coherent multi-agent development orchestrator, but it defaults to powerful agent and local automation paths that can modify code, run shell commands, post to GitHub, persist scheduled jobs, and act without enough containment.
LLM: suspicious (high) · VirusTotal: suspicious · 11 Sept 2026